Development of Peptide Paratope Mimics Derived from the Anti-ROR1 Antibody and Long-Acting Peptide-Drug Conjugates for Targeted Cancer Therapy.

Antibody-based targeted therapy in cancer faces a challenge due to uneven antibody distribution in solid tumors, hindering effective drug delivery. We addressed this by developing peptide mimetics with nanomolar-range affinity for Receptor Tyrosine Kinase-Like Orphan Receptor 1 (ROR1) using computational methods. These peptides showed both specific targeting and deep penetration in vitro and in vivo. Additionally, we created peptide-drug conjugates (PDCs) by linking targeting peptides to toxin drugs via various linkers and enhancing their in vivo half-life with fatty side chains for albumin binding. The antitumor candidate II-3 displayed exceptional affinity (KD = 1.72 × 10-9 M), internalization efficiency, anticancer potency (IC50 = 0.015 ± 0.002 µM), and pharmacokinetics (t1/2 = 2.6 h), showcasing a rational approach for designing PDCs with favorable tissue distribution and strong tumor penetration.

Design, synthesis and biological evaluation of quinazoline SOS1 inhibitors.

Son of sevenless 1 (SOS1) is a vital guanine nucleotide exchange factor (GEFs) that activates rat sarcoma (Ras) protein in cells. SOS1 inhibitors can effectively inhibit the expression of downstream signaling pathways by blocking the interaction between SOS1 and Ras protein. Here, we designed and synthesized a series of quinazoline-based compounds, and conducted subsequent evaluations of their biological activities. Among them, the comparable compounds I-2 (IC50 = 20 nM, against SOS1) I-5 (IC50 = 18 nM, against SOS1) and I-10 (IC50 = 8.5 nM, against SOS1) have kinase activity equivalent to BAY-293 (IC50 = 6.6 nM, against SOS1), and I-10 also has cell activity equivalent to BAY-293, providing a theoretical reference for subsequent related researches on SOS1 inhibitors.

Pyrizolo[1,5-a]pyrimidine derivatives of the second-generation TRK inhibitor: Design, synthesis and biological evaluation.

As a receptor tyrosine kinase (RTK), tropomyosin receptor kinase (Trk) is a key drug target in solid tumors. However, the use of the First-generation Trk inhibitors was greatly restricted due to mutant drug resistance. Fortunately, the emergence of the Second-generation of Trk inhibitors has brought an effective solution to this mutant resistance, such as TPX-0005 (Repotrectinib). Here, we reported a series of pyrizolo[1,5-a]pyrimidine derivatives as the second-generation Trk inhibitors, and carried out the subsequent biological activity evaluation. Among them, the best compound 14h (IC50 = 1.40, 1.80 nM, against TrkA, TrkAG595R, respectively) and 14j (IC50 = 0.86, 6.92 nM, against TrkA, TrkAG595R, respectively) has a kinase activity comparable to TPX-0005, and 14j (IC50 = 350 nM against ALK) has a higher selectivity of Trk inhibition than TPX-0005, which may be of great significance for reducing toxicity.

Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint.

Brain tumor image classification is an important part of medical image processing. It assists doctors to make accurate diagnosis and treatment plans. Magnetic resonance (MR) imaging is one of the main imaging tools to study brain tissue. In this article, we propose a brain tumor MR image classification method using convolutional dictionary learning with local constraint (CDLLC). Our method integrates the multi-layer dictionary learning into a convolutional neural network (CNN) structure to explore the discriminative information. Encoding a vector on a dictionary can be considered as multiple projections into new spaces, and the obtained coding vector is sparse. Meanwhile, in order to preserve the geometric structure of data and utilize the supervised information, we construct the local constraint of atoms through a supervised k-nearest neighbor graph, so that the discrimination of the obtained dictionary is strong. To solve the proposed problem, an efficient iterative optimization scheme is designed. In the experiment, two clinically relevant multi-class classification tasks on the Cheng and REMBRANDT datasets are designed. The evaluation results demonstrate that our method is effective for brain tumor MR image classification, and it could outperform other comparisons.

Design and synthesis of the novel oleanolic acid-cinnamic acid ester derivatives and glycyrrhetinic acid-cinnamic acid ester derivatives with cytotoxic properties.

Oleanolic acid (OA) and glycyrrhetinic acid (GA) are natural products with anticancer effects. Cinnamic acid (CA) and its derivatives also exhibited certain anticancer activity. In order to improve the anticancer activity of OA and GA, we designed and synthesized a series of novel OA-CA ester derivatives and GA-CA ester derivatives by using molecular hybridization approach. The 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) assay was used to assess their in vitro cytotoxicity on three cell lines (HeLa (cervical cancer), MCF-7 (breast cancer) and L-O2 (a normal hepatic cell)). Among the evaluated compounds, 3o presented the strongest selective cytotoxicity on HeLa cells (IC50 = 1.35 µM) and showed no inhibitory activity against MCF-7 cells (IC50 > 100 µM) and L-O2 cells (IC50 > 100 µM), and 3e presented the strongest selective inhibition of the MCF-7 cells (IC50 = 1.79 µM). What's more, compound 2d also showed very strong selective inhibitory activity against HeLa cells (IC50 = 1.55 µM). The further research using Hoechst 33342, AO/EB dual-staining, flow cytometric analysis and DCFH-DA fluorescent dye staining assay presented that 2d and 3o could induce HeLa cells apoptosis and autophagy.

Phytoextraction potential of soils highly polluted with cadmium using the cadmium/zinc hyperaccumulator Sedum plumbizincicola.

A three-crop repeated phytoextraction experiment was conducted using four soils (S1-S4) highly polluted with cadmium (Cd) and two enhanced phytoextraction pot experiments using the most polluted soil (S4) to investigate the feasibility of Cd removal from highly polluted soils using the Cd/zinc (Zn)-hyperaccumulator Sedum plumbizincicola. Shoot biomass showed no significant difference during the repeated phytoextraction experiment on the four test soils and shoot Cd content showed a decreasing trend with the three consecutive crops in soils S1, S2, and S3 but not in soil S4. The Cd removal rates in soils S1, S2, S3, and S4 were 84.5, 81.6, 45.3, and 32.4%, respectively. Rice straw application increased Cd extraction efficiency by 42.6% but the addition of ethylenediaminedisuccinic acid, biochar or nitrogen had no effect on Cd remediation. Shoot Cd content increased significantly (1.57 and 1.71 times, respectively) at low (S0-1) and high (S0-2) sulfur addition rates. Soil extractable-Cd in S0-1 after the experiment showed no significant difference from the control but was 2.43 times higher in S0-2 than in the control. These results indicate that S. plumbizincicola shows good prospects for the phytoextraction of Cd from highly polluted soils and that the process can be enhanced by adding straw and/or sulfur to the soil.